Ankrah Nana Y D, Bernstein David B, Biggs Matthew, Carey Maureen, Engevik Melinda, García-Jiménez Beatriz, Lakshmanan Meiyappan, Pacheco Alan R, Sulheim Snorre, Medlock Gregory L
State University of New York at Plattsburgh, Plattsburgh, New York, USA.
University of California, Berkeley, California, USA.
mSystems. 2021 Dec 21;6(6):e0059921. doi: 10.1128/mSystems.00599-21. Epub 2021 Dec 14.
Construction and analysis of genome-scale metabolic models (GEMs) is a well-established systems biology approach that can be used to predict metabolic and growth phenotypes. The ability of GEMs to produce mechanistic insight into microbial ecological processes makes them appealing tools that can open a range of exciting opportunities in microbiome research. Here, we briefly outline these opportunities, present current rate-limiting challenges for the trustworthy application of GEMs to microbiome research, and suggest approaches for moving the field forward.
基因组尺度代谢模型（GEMs）的构建与分析是一种成熟的系统生物学方法，可用于预测代谢和生长表型。GEMs能够对微生物生态过程产生机制性见解，这使其成为有吸引力的工具，可为微生物组研究带来一系列令人兴奋的机会。在此，我们简要概述这些机会，介绍当前将GEMs可靠应用于微生物组研究的限速挑战，并提出推动该领域发展的方法。
